pr-review
pr-review is a Change & PR review skill for AI agents, published by JocysCom in the FocusLogger repository on GitHub. Skillspace rates pr-review C (70/100) and it passed the safety scan; the rating is based on static analysis only.
AI-assisted pull request review workflow for Azure DevOps Git repositories. Use when the user asks to review a pull request, perform a PR review, analyse PR changes, or run the PR review pipeline. Provides a complete scripted workflow to fetch PR metadata, prepare a local branch folder, export diffs, generate review reports and checklists, and post review comments back to Azure DevOps. Requires Python 3.9+ and Git.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 203
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- GPL-3.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.